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UNDERSTANDING BUSINESS STATISTICS

Understanding Business Statistics 2nd edition

By Ned Freed
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Paperback, 612 pages
Understanding Business Statistics 2nd edition
$39.95
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This is an updated version of Understanding Business Statistics, the author's highly regarded introduction to modern business statistics. In this second edition, the EXCEL instructions for all the end-of-chapter EXCEL exercises have been updated to EXCEL 2010. In addition, chi-square goodness-of-fit tests have been added to Chapter 13. The remainder of the book--including page numbers and chapter exercises--is identical to the first edition. As in the original text, the writing is excellent--clear, conversational, and supportive--and the author's unique approach is again successful in de-mystifying the subject, even for students who are not wholly confident in their math skills. ISBN 978-0-615-32936-9. (For more information and related downloads, visit www.coventry-collegiate.com.)
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Understanding Business Statistics Part 2

By Ned Freed
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Paperback, 168 pages
Understanding Business Statistics Part 2
$15.95
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Part 2 of Understanding Business Statistics by Ned Freed is a supplement to the original text (also available on Lulu). Topics covered include QUALITY CONTROL, TIME SERIES FORECASTING, and DECISION THEORY. Used together with the original text, Part 2 enables instructors to build a coherent two-semester course in modern business statistics. As in the original text, the writing is excellent--clear, conversational, and supportive--and the author's unique approach is once again successful in de-mystifying the subject, even for students who are not wholly confident in their math skills. (For more information, visit www.coventry-collegiate.com.)
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About Ned Freed

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With more than 30 years experience as an award-winning teacher and researcher in the area of statistics and quantitative methods, Dr. Ned Freed has served on the faculties of the Naval Postgraduate School in Monterey, California, the University of Maine, in Orono, Maine, and the University of Portland, in Portland, Oregon. Professor Freed graduated from Boston College with a BS in mathematics, earned an MBA from the Wharton School at the University of Pennsylvania, and holds a PhD in management science from the University of Colorado. He has authored a number of articles dealing with mathematical programming applications to statistical problems and has worked extensively with Prof. Fred Glover at the University of Colorado to produce linear programming alternatives to conventional methods of multivariate discriminant analysis. (For more information and free supplementary downloads, please visit www.coventry-collegiate.com)